Based on The Centerline of The Closed-loop Control Map Information Identification and Extraction

摘要

This Paper introduces a feedback closed loop method to automatically recognition and extraction roads from color city maps, in order to recognition and extraction full the road network .Based on approach thought of microscopic identification and macroscopic elimination, the system realized first the road layer initial recognition and last road map level completely to withdraw via some output layers reclustering and feedback control. In view of the standard municipal transportation map, the path and the region valve value condition has determined. Through re-clustering to the noise the whole map can be completely divided into two parts of road and nonroad(region). The feedback re-clustering strategies of recognition for the transportation road networks are based on the core characteristic of obtained road constitution. The convergence of the feedback reclustering of road layer guarantees the map level optimization. The experiments prove this method to be an efficient method with advantages of precision, automation and broad use.